IDEAS home Printed from https://ideas.repec.org/a/icf/icfjfe/v05y2007i3p78-83.html
   My bibliography  Save this article

Effects of Volatility of Exports in the Philippines and Thailand

Author

Listed:
  • Dipendra Sinha

Abstract

There have been numerous studies on the relationship between volatility of exports and economic growth. Most of these studies have used cross-section data. Recently, some studies have used time series data to study the relationship. However, there have been no studies which have used the Generalized Auto Regressive Conditional Heteroscedasticity (GARCH) methodology to study export volatility. This paper fills the void and uses quarterly data for the Philippines and Thailand to study the effects of export volatility. We find that for both countries, the shock to volatility of growth of exports is permanent. Also, past volatility is significant in predicting future volatility.

Suggested Citation

  • Dipendra Sinha, 2007. "Effects of Volatility of Exports in the Philippines and Thailand," The IUP Journal of Financial Economics, IUP Publications, vol. 0(3), pages 78-83, September.
    • Handle: RePEc:icf:icfjfe:v:05:y:2007:i:3:p:78-83
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    2. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    3. Gyimah-Brempong, Kwabena, 1991. "Export Instability and Economic Growth in Sub-Saharan Africa," Economic Development and Cultural Change, University of Chicago Press, vol. 39(4), pages 815-828, July.
    4. Sinha, D., 1999. "Export Instability, Investment and Economic Growth in Asian Countries: A Time Series Analysis," Papers 799, Yale - Economic Growth Center.
    5. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:aer:wpaper:322 is not listed on IDEAS
    2. Daba Ketema Huriso & Belay Belete Anjullo & Yilikal Tesfaye Haile & Derbachew Asfaw Teni, 2024. "Multivariate Generalized Autoregressive Conditional Heteroscedasticity Modeling of the Relationship Between Major Economic Indicators in Ethiopia," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7127-7142, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zeynel Abidin Ozdemir, 2010. "Dynamics Of Inflation, Output Growth And Their Uncertainty In The Uk: An Empirical Analysis," Manchester School, University of Manchester, vol. 78(6), pages 511-537, December.
    2. Eleni Constantinou & Robert Georgiades & Avo Kazandjian & George Kouretas, 2005. "Mean and variance causality between the Cyprus Stock Exchange and major equity markets," Working Papers 0501, University of Crete, Department of Economics.
    3. Pami Dua & Nishita Raje & Satyananda Sahoo, 2004. "Interest Rate Modeling and Forecasting in India," Occasional papers 3, Centre for Development Economics, Delhi School of Economics.
    4. Dang, Tam Hoang Nhat & Balli, Faruk & Balli, Hatice Ozer & Gabauer, David & Nguyen, Thi Thu Ha, 2024. "Sectoral uncertainty spillovers in emerging markets: A quantile time–frequency connectedness approach," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 121-139.
    5. Mohammadi, M. & Rezakhah, S. & Modarresi, N., 2020. "Semi-Lévy driven continuous-time GARCH process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    6. Alizadeh, Amir H. & Tamvakis, Michael, 2016. "Market conditions, trader types and price–volume relation in energy futures markets," Energy Economics, Elsevier, vol. 56(C), pages 134-149.
    7. Efimova, Olga & Serletis, Apostolos, 2014. "Energy markets volatility modelling using GARCH," Energy Economics, Elsevier, vol. 43(C), pages 264-273.
    8. Carlos Alberto Piscarreta Pinto Ferreira, 2022. "Revisiting The Determinants Of Sovereign Bond Yield Volatility," Working Papers REM 2022/0241, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    9. Charfeddine, Lanouar & Ajmi, Ahdi Noomen, 2013. "The Tunisian stock market index volatility: Long memory vs. switching regime," Emerging Markets Review, Elsevier, vol. 16(C), pages 170-182.
    10. Harvey,Andrew C., 2013. "Dynamic Models for Volatility and Heavy Tails," Cambridge Books, Cambridge University Press, number 9781107034723, September.
    11. Deb, Prokash & Dey, Madan M. & Surathkal, Prasanna, 2021. "Fish Price Volatility Dynamics in Bangladesh," 2021 Annual Meeting, August 1-3, Austin, Texas 314077, Agricultural and Applied Economics Association.
    12. Jin, Xiaoye & An, Ximeng, 2016. "Global financial crisis and emerging stock market contagion: A volatility impulse response function approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 179-195.
    13. Mohamed Boutahar & Jamel Jouini, 2007. "A Methodology For Detecting Breaks In The Mean And Covariance Structure Of Time Series," Working Papers halshs-00354249, HAL.
    14. Shi Chen & Cathy Yi-Hsuan Chen & Wolfgang Karl Hardle, 2020. "A first econometric analysis of the CRIX family," Papers 2009.12129, arXiv.org.
    15. Shafiqah Azman & Dharini Pathmanathan & Aerambamoorthy Thavaneswaran, 2022. "Forecasting the Volatility of Cryptocurrencies in the Presence of COVID-19 with the State Space Model and Kalman Filter," Mathematics, MDPI, vol. 10(17), pages 1-15, September.
    16. Işık, Cem & Kuziboev, Bekhzod & Ongan, Serdar & Saidmamatov, Olimjon & Mirkhoshimova, Mokhirakhon & Rajabov, Alibek, 2024. "The volatility of global energy uncertainty: Renewable alternatives," Energy, Elsevier, vol. 297(C).
    17. Cheung, Yin-Wong & Chung, Sang-Kuck, 2009. "A Long Memory Model with Mixed Normal GARCH for US Inflation Data," Santa Cruz Department of Economics, Working Paper Series qt2202s99q, Department of Economics, UC Santa Cruz.
    18. Rakshit, Debopam & Paul, Ranjit Kumar & Panwar, Sanjeev, 2021. "Asymmetric Price Volatility of Onion in India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 0(Number 2), June.
    19. da Silva, Carlos Alberto & Ferreira, Leo da, 2015. "Asymmetric Volatility Modeling of Spot Prices of Arabic Coffee in Brazil," 2015 Conference, August 9-14, 2015, Milan, Italy 211556, International Association of Agricultural Economists.
    20. Cong, Ren & Lo, Alex Y., 2017. "Emission trading and carbon market performance in Shenzhen, China," Applied Energy, Elsevier, vol. 193(C), pages 414-425.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F10 - International Economics - - Trade - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:icf:icfjfe:v:05:y:2007:i:3:p:78-83. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: G R K Murty (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.